Validation Rules

Ack provides a rich set of built-in validation rules (constraints) that you can chain onto schema types to enforce specific requirements. Built-in constraints provide default error messages. For custom error messages, use custom constraints (see Custom Validation Guide).

Common Constraints (Applicable to Multiple Types)

nullable()

Allows the value to be null in addition to the type's constraints.

final optionalName = Ack.string().nullable();
final optionalAge = Ack.integer().nullable();

constrain(Constraint<T> constraint, {String? message})

Applies a custom Constraint<T> that also implements Validator<T>. See the Custom Validation guide.

String Constraints

Apply these to Ack.string() schemas.

minLength(int min)

Requires at least min characters.

Ack.string().minLength(5)

maxLength(int max)

Requires at most max characters.

Ack.string().maxLength(100)

Exact Length

To ensure a string has exactly a specific length, combine minLength() and maxLength():

// String must be exactly 10 characters
Ack.string().minLength(10).maxLength(10)

notEmpty()

Requires a non-empty string. Equivalent to minLength(1).

Ack.string().notEmpty()

matches(String pattern, {String? example, String? message})

Requires the string to match a regular expression pattern.

Important: Patterns are NOT automatically anchored. The pattern will match if found anywhere in the string (substring matching). To require full-string matching, explicitly add anchors: ^...$

// Simple alphanumeric pattern (full-string match with anchors)
Ack.string().matches(r'^[a-zA-Z0-9]+$')

// UUID pattern (full-string match with anchors)
Ack.string()
    .matches(r'^[0-9a-f]{8}-([0-9a-f]{4}-){3}[0-9a-f]{12}$')

// Without anchors - matches substring (usually not what you want!)
Ack.string().matches(r'[0-9]+')  // Matches "abc123xyz" ⚠️

contains(String pattern, {String? example, String? message})

Requires pattern to appear somewhere in the string.

// Password must contain at least one uppercase letter
Ack.string().contains(r'[A-Z]')

// Password must contain at least one digit
Ack.string().contains(r'[0-9]')

email()

Requires a valid email address format.

Ack.string().email()

date()

Requires a valid date string in YYYY-MM-DD format.

Ack.string().date()

datetime()

Requires a valid ISO 8601 date-time string.

Ack.string().datetime()

time()

Requires a valid time string in HH:MM:SS format.

Ack.string().time()

uri()

Requires a valid URI per RFC 3986.

Ack.string().uri()

uuid()

Requires a valid UUID per RFC 4122.

Ack.string().uuid()

ipv4()

Requires a valid IPv4 address.

Ack.string().ipv4()

ipv6()

Requires a valid IPv6 address.

Ack.string().ipv6()

enumString(List<String> allowedValues)

Requires the value to be one of allowedValues. Use this only for ad-hoc string lists. When a Dart enum exists, prefer Ack.enumValues(MyEnum.values) for type-safe validation.

Ack.enumString(['active', 'inactive', 'pending'])

literal(String value)

Requires an exact string match.

Ack.literal('admin')

startsWith(String prefix)

Requires the string to start with prefix.

Ack.string().startsWith('https://')

endsWith(String suffix)

Requires the string to end with suffix.

Ack.string().endsWith('.dart')

url()

Alias for uri(). Requires a valid URL.

Ack.string().url()

ip({int? version})

Requires a valid IP address. Set version to restrict to IPv4 or IPv6.

Ack.string().ip()          // Any IP (v4 or v6)
Ack.string().ip(version: 4) // IPv4 only
Ack.string().ip(version: 6) // IPv6 only

String Transformations

These methods transform the string value during parsing. They don't add validation constraints but modify the output value.

trim()

Removes leading and trailing whitespace from the string.

Ack.string().trim()
// "  hello  " → "hello"

toLowerCase()

Converts the string to lowercase.

Ack.string().toLowerCase()
// "HELLO" → "hello"

toUpperCase()

Converts the string to uppercase.

Ack.string().toUpperCase()
// "hello" → "HELLO"

Number Constraints

Apply these to Ack.integer(), Ack.double(), or Ack.number() schemas.

min(num limit)

Requires a value >= limit (inclusive).

Ack.integer().min(0) // >= 0
Ack.double().min(0.0) // >= 0.0
Ack.number().min(0) // >= 0

max(num limit)

Requires a value <= limit (inclusive).

Ack.integer().max(100) // <= 100
Ack.double().max(100.0) // <= 100.0
Ack.number().max(100) // <= 100

greaterThan(num limit)

Requires a value strictly > limit (exclusive).

Ack.integer().greaterThan(0) // > 0
Ack.double().greaterThan(0.0) // > 0.0
Ack.number().greaterThan(0) // > 0

lessThan(num limit)

Requires a value strictly < limit (exclusive).

Ack.integer().lessThan(100) // < 100
Ack.double().lessThan(100.0) // < 100.0
Ack.number().lessThan(100) // < 100

multipleOf(num factor)

Requires a value that is a multiple of factor.

Ack.integer().multipleOf(5) // Must be divisible by 5
Ack.double().multipleOf(0.5) // Use factors that avoid floating point rounding issues
Ack.number().multipleOf(0.5)

positive()

Requires a value greater than 0.

Ack.integer().positive() // > 0
Ack.double().positive() // > 0.0
Ack.number().positive() // > 0

negative()

Requires a value less than 0.

Ack.integer().negative() // < 0
Ack.double().negative() // < 0.0
Ack.number().negative() // < 0

safe() (Integer only)

Requires an integer within JavaScript's safe range (-2^53+1 to 2^53-1).

Ack.integer().safe()

finite()

Requires a finite number (rejects infinity and NaN). Ack.double() and Ack.number() already enforce this by default; the method is available for explicitness and API symmetry.

Ack.double().finite()
Ack.number().finite()

List Constraints

Apply these to Ack.list() schemas.

minLength(int min)

Requires at least min items.

Ack.list(Ack.string()).minLength(1)

maxLength(int max)

Requires at most max items.

Ack.list(Ack.integer()).maxLength(10)

length(int count)

Requires exactly count items.

Ack.list(Ack.boolean()).length(5)

notEmpty()

Requires a non-empty list. Equivalent to minLength(1).

Ack.list(Ack.object({})).notEmpty()

unique()

Requires all items to be unique. Uses deep structural equality, so nested maps/lists are compared by value.

Ack.list(Ack.string()).unique()

Primitive Type Strictness

Primitive schemas (Ack.string(), Ack.integer(), Ack.double(), Ack.number(), Ack.boolean()) are strict: a value must already match the expected Dart runtime type. Mismatched inputs surface as a TypeMismatchError instead of being silently coerced.

Each schema maps to a specific runtime type:

SchemaAccepted runtime typeNotes
Ack.string()Stringrejects num, bool, etc.
Ack.integer()intrejects double (even 42.0)
Ack.double()doublerejects int (even 42)
Ack.number()numaccepts both int and double
Ack.boolean()boolrejects "true", 1, 0, etc.
final stringSchema = Ack.string();
stringSchema.safeParse('hello');  // ✅ OK
stringSchema.safeParse(123);      // ❌ FAIL: TypeMismatchError
stringSchema.safeParse(true);     // ❌ FAIL: TypeMismatchError

final intSchema = Ack.integer();
intSchema.safeParse(42);    // ✅ OK
intSchema.safeParse('42');  // ❌ FAIL: TypeMismatchError
intSchema.safeParse(42.0);  // ❌ FAIL: TypeMismatchError (double is not int)

final doubleSchema = Ack.double();
doubleSchema.safeParse(3.14);  // ✅ OK
doubleSchema.safeParse(42);    // ❌ FAIL: TypeMismatchError (int is not double)

final numberSchema = Ack.number();
numberSchema.safeParse(42);    // ✅ OK (int is num)
numberSchema.safeParse(3.14);  // ✅ OK (double is num)
numberSchema.safeParse('42');  // ❌ FAIL: TypeMismatchError

Because Ack.integer() and Ack.double() do not overlap, use Ack.number() when a field may legitimately be either an int or a double. Reach for transform/codec only when the boundary value isn't already a num (for example, a numeric string).

This strictness makes anyOf and discriminated unions reliable — they can distinguish, for example, the string "42" from the integer 42 without configuration:

final stringOrNumber = Ack.anyOf([
  Ack.string(),
  Ack.integer(),
]);

stringOrNumber.safeParse('42');  // ✅ Matches string branch
stringOrNumber.safeParse(42);    // ✅ Matches integer branch

Converting Boundary Types

When your boundary payload uses a different shape from your runtime model (for example, ISO strings → DateTime, or "true"/"false"bool), express the conversion explicitly with transform or a codec:

// Boundary "true"/"false" string → runtime bool
final boolFromString = Ack.string()
  .enumString(['true', 'false'])
  .transform((s) => s == 'true');

boolFromString.safeParse('true');   // ✅ runtime value: true
boolFromString.safeParse('false');  // ✅ runtime value: false
boolFromString.safeParse(true);     // ❌ FAIL: string schema rejects bool

Use schema.codec<R>(decode: ..., encode: ...) when you also need a reversible encode path back to the boundary type.

Combining Constraints

You can chain multiple constraints together. Ack evaluates them in the order you apply them.

final usernameSchema = Ack.string()
  .minLength(3)        // First: check min length
  .maxLength(20)       // Second: check max length
  .matches(r'[a-z0-9_]+') // Third: check pattern (lowercase alphanumeric/underscore)
  .notEmpty();       // Redundant if minLength(>0) is used, but illustrates chaining

final quantitySchema = Ack.integer()
  .min(1)              // Must be at least 1
  .max(100)            // Must be at most 100
  .multipleOf(1);     // Must be an integer (redundant for Ack.integer)

Next Steps

Now that you understand validation rules, explore these related topics: